Consulting Architect - Search

Elastic

5h • $133,100 - $252,900

About The Position

Elastic is seeking a Consulting Architect to help customers realize value from Elastic’s solutions. The role primarily focuses on observability, while also drawing on security architecture expertise to strengthen customers’ detection, response, and resilience. As a trusted technical advisor, the Consulting Architect helps enterprises improve application performance, infrastructure visibility, end-user experience, and security posture.

The role collaborates with Professional Services, Engineering, Product, and Sales to accelerate adoption of the Elastic platform and help customers maximize the value of their data and achieve business outcomes. It leads customer engagements from discovery and roadmap design through implementation, enablement, and optimization, and provides technical oversight and knowledge transfer to customers and teammates.

The position designs scalable solutions and proofs of concept using the Elastic Stack, optimizes queries and clusters, develops ingestion pipelines and Kibana insights, and shares best practices internally. The role requires 5+ years of relevant experience, deep Search expertise, strong security and observability capability, and the ability to work with distributed remote teams and travel to customer sites as required.

Compensation is base salary without variable compensation. The typical starting salary range is $133,100–$210,600 USD, or $159,900–$252,900 USD in select locations. The role is currently eligible for Elastic’s stock program. Elastic also offers a company-matched 401(k), health coverage in many locations, flexible locations and schedules for many roles, vacation days, donation matching, volunteer time, and parental leave.

Requirements

• 5+ years of experience as a consultant, architect, or engineer, with deep Search expertise and strong capability in security and observability.
• Proven track record deploying Elastic Search, Elastic Observability (APM, logs, and metrics), and Elastic Security (SIEM and endpoint), or similar enterprise-scale solutions.
• Hands-on expertise with distributed systems, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
• Deep understanding of e-commerce search solutions, query development, relevancy tuning, and natural language processing use cases.
• Background in open-source machine learning frameworks such as PyTorch, supported by a Computer Science degree or related field, or equivalent experience.
• Familiarity with incident response workflows and frameworks such as MITRE ATT&CK, NIST, or ISO 27001.
• Proficiency in at least one programming or scripting language, such as Python, Java, or PowerShell.
• Strong presentation skills and ability to engage stakeholders and explain complex technical concepts.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Cybersecurity, or a related field, or equivalent experience.
• Comfort working in highly distributed, remote teams and willingness to travel to customer sites as required.

Nice To Haves

• Elastic Certified Engineer certification or deep expertise with Elasticsearch and Lucene.
• Prior experience in Big 4 or equivalent professional services environments.
• Experience with Infrastructure-as-Code tools such as Terraform or Ansible and container orchestration such as ECK.
• Knowledge of machine learning or AI as applied to Search, observability, and security.

Responsibilities

• Translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
• Lead customer projects from discovery and roadmap design through implementation, enablement, and optimization.
• Design proofs of concept that demonstrate the value of Elastic Stack solutions.
• Accelerate adoption of Elastic solutions by optimizing queries, fine-tuning clusters, and delivering search and analytics at scale.
• Optimize data ingestion pipelines for performance, scalability, and resiliency using Elastic Agents, Beats, Logstash, and stream processing.
• Design and implement custom dashboards, visualizations, detection rules, and alerts in Kibana for observability and security operations.
• Provide technical oversight and knowledge transfer to customers and teammates throughout project lifecycles.
• Capture and share best practices and solution patterns, contributing to internal enablement and continuous learning.
• Advise enterprise customers on application performance, infrastructure visibility, end-user experience, and security posture.
• Collaborate with Professional Services, Engineering, Product, and Sales.

Benefits

• Company-matched 401(k), with dollar-for-dollar matching up to 6% of eligible earnings.
• Eligibility to participate in Elastic’s stock program.
• Health coverage for employees and their families in many locations.
• Flexible locations and schedules for many roles.
• Vacation days each year.
• Matching up to $2,000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year for volunteer projects.
• A minimum of 16 weeks of parental leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior